Display & Video 360 Partners

The three places money leaves a media budget

Money leaves a programmatic budget in three distinct ways, often blended into one number on the invoice. There is the partner's management fee, which pays for the people operating the seat. There is the platform fee the demand-side platform itself charges, usually a percentage of media spend. And there are pass-through costs: ad serving, third-party verification, audience data segments, and any measurement vendors attached to the buy. A transparent arrangement states each separately, names the rate, and says whether pass-through items are billed at the vendor's cost or with a margin applied.

The question to ask is simple and revealing: for every pound of budget, how much is paid to a publisher for an impression? Transparent operators answer with a number and offer to show how it was derived. Others reframe the question around outcomes, which is a legitimate topic and a different one. You are entitled to both. The figure also changes with tactic, since data-heavy audience buying carries far higher pass-through costs than contextual buying, so ask for it split by line-item type rather than as one campaign average.

Terms that make an independent audit possible

• The seat should be one you can retain — an advertiser seat in your own name, with the partner given user access, makes a change of operator an access revocation rather than a data migration.
• Log-level data access stated in writing — DV360 can transfer impression-level and bid-level files to storage you own, and the destination should be named as your cloud project.
• Pass-through costs itemised on the invoice — data segments, ad serving and verification listed against the vendor's own rate, with any markup stated as a percentage rather than absorbed.
• Reserved-media arrangements declared — if the partner resells inventory it bought in advance, that is a principal relationship rather than an agency one, and it changes what your fee pays for.
• A right to inspect the seat directly — permission for you or a third party to review fee configuration, inventory lists and historical spend without a notice period measured in months.

Supply-path optimization instead of inherited defaults

The same impression is often available through several routes: directly from the publisher's own exchange, through a reseller, and sometimes through a reseller of a reseller. Each hop takes a cut, adds latency, and creates another chance for the impression to be misrepresented. Supply-path optimization means deciding which routes you buy through and excluding the rest. Done properly it starts with the log-level files, identifies which sellers deliver the same inventory at the lowest total cost and highest verified quality, and produces a maintained list. Done lazily it means switching on a preset and calling it optimization.

Ask to see the current list and how it was derived. A credible answer references seller identifiers from published supply chain records, shows effective cost for the same publisher across different paths, and includes a review cadence, because exchange and publisher arrangements change several times a year. Ask what was excluded and what it cost in reach. Cutting paths always reduces available supply, and anyone claiming to have narrowed the path count with no effect on delivery is not measuring the trade-off.

Brand safety configured rather than accepted

Brand safety in DV360 is not a switch. It is a stack of settings: the platform's inventory categories, third-party verification segments applied before bidding, publisher allow-lists and block-lists, content-rating and language filters, and post-bid reporting showing what got through anyway. The default configuration is deliberately broad because the platform serves every kind of advertiser. Yours should reflect your actual risk tolerance, usually narrower in some areas and wider in others. Blanket keyword blocking deserves particular scrutiny, because long inherited exclusion lists routinely block ordinary news inventory and raise costs with no measurable benefit.

Get the settings documented as a configuration record rather than described in a meeting, then review it against what actually delivered. The post-bid report is the check on the pre-bid settings: if a category is blocked before bidding and still shows delivery afterwards, something in the chain is misreporting. Agree who holds authority to change these settings, because brand safety configuration loosens quietly whenever a campaign is under pressure to spend before a flight ends.

Frequency management when one person is several identifiers

A frequency cap only works across the identifiers the platform can connect. One person browsing on a laptop, watching connected television and scrolling on a phone may appear as three separate entities, so a cap of five per week can deliver fifteen. Connected television is worse, because a living-room device identifier is shared by a household. Hence the familiar complaint that a campaign felt relentless while reported average frequency looked reasonable. Averages hide this: a campaign averaging four impressions per user can deliver thirty to its top decile.

Ask for frequency reported as a distribution rather than a mean, split by device type and line item. Then ask what the cap is set to and at which level it applies, since caps can sit on the insertion order, the line item, or across a campaign, and caps at different levels compound rather than override. For connected television, agree a separate and much lower cap. Finally, ask what happens to performance beyond the cap, because there is usually a point where more exposure adds nothing and the money buys reach instead.

Creative testing with a real statistical standard

Rotating creatives and reporting which had the highest click-through rate is not a test. It describes whatever the delivery algorithm happened to favor, since the platform allocated impressions unevenly toward the creative it predicted would perform, which contaminates the comparison. A real test needs a stated hypothesis, randomised allocation between variants, a metric chosen before the test begins, a minimum sample size calculated in advance from the effect size you care about, and a fixed end date. Anything less produces a number that will not repeat when you spend real budget against it.

Insist the sample size calculation appears in the test plan. Most creative differences are small, so the volumes needed to detect them reliably are larger than campaign teams expect, and a week-long test on a modest budget is usually inconclusive. An inconclusive result is legitimate and useful; anyone reporting a winner from every test is finding noise. Agree what the test measures, too. A creative that wins on click-through and loses on conversion rate is common and expensive, and the metric must be fixed before anyone sees data.

Connecting media metrics to outcomes the business recognizes

Viewability, completion rate and cost per thousand impressions describe how media was delivered. They do not tell you whether it worked. Connecting delivery to outcomes means joining impression-level records to something representing business value: orders in your own systems, qualified leads in your CRM, store visits, or a modeled measure from a geographic holdout. The mechanism matters less than the commitment to doing it. What you are guarding against is a reporting relationship where the metrics improving every quarter are the ones your partner controls, while the numbers finance watches move independently.

The strongest version is an incrementality test: hold out a set of regions or a randomised share of the audience, run the campaign everywhere else, and compare. It costs reach, and it is the only method that answers the question directly. Ask whether a partner can design one, what it costs in forgone delivery, and what size of effect it can actually detect. If that is out of scope, the fallback is a documented attribution approach with its assumptions written down and refreshed whenever the media mix changes.

What a quarterly review should actually contain

• Working media percentage for the period — the share of total spend that reached a publisher, calculated from invoices rather than asserted, with any movement explained.
• Supply path changes and their measured effect — which sellers were added or removed, the reasoning, and what happened to effective cost and verified quality afterwards.
• Tests run, including the ones that failed — hypothesis, sample size, result and the decision taken, with inconclusive tests reported honestly as inconclusive.
• Frequency as a distribution, not an average — split by device type, with connected television shown separately and any cap changes noted against dates.
• A plan for the next quarter with budget attached — including what will be stopped, which is the part almost every review omits.

Programs rarely stop at one product. Buyers hiring for Display & Video 360 often pair it with BigQuery partners , Campaign Manager 360 partners or Google Analytics 4 partners , or review the whole Google Marketing Platform landscape before committing.